Type-2 Fuzzy Granular Models / / by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
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| Autore: |
Sanchez Mauricio A
|
| Titolo: |
Type-2 Fuzzy Granular Models / / by Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Edizione: | 1st ed. 2017. |
| Descrizione fisica: | 1 online resource (97 p.) |
| Disciplina: | 620 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Persona (resp. second.): | CastilloOscar |
| CastroJuan R | |
| Note generali: | Includes index. |
| Nota di contenuto: | Introduction -- Background and Theory -- Advances in Granular Computing -- Conclusions. . |
| Sommario/riassunto: | In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based. And a fuzzy granular application comparison is given as to demonstrate the differences in how uncertainty affects the performance of fuzzy information granules. |
| Titolo autorizzato: | Type-2 Fuzzy Granular Models |
| ISBN: | 3-319-41288-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910254176703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Computational Intelligence, . 2625-3712